60 results about "Pulmonary function testing" patented technology

The invention provides a lung function curve prediction method, a lung function curve prediction device, a storage medium and a program product. The prediction method comprises the following steps: acquiring flow rates of collected M sampling points; inputting the flow rates of the M sampling points into a pre-constructed and trained lung function curve prediction model, and predicting a lung function curve by using the trained lung function curve prediction model; the construction of the prediction model comprises the following steps: constructing a Taylor series expansion of an N-order K-element equation, and using the Taylor series expansion to represent the relationship between the flow velocity of the t-th sampling point of the lung function curve and the flow velocity of N sampling points before the t-th sampling point; wherein the training of the prediction model comprises the following steps: constructing a training data set; and training the lung function curve prediction model by using the training data set and a predetermined neural network algorithm until a predetermined training target is met. By utilizing the technical scheme, the real lung function curve data can be predicted by using a limited number of effective data points in the lung function examination process.

The invention relates to the technical field of lung function testing, in particular to a lung function testing system based on pulse oscillation. According to the designed system, efficient coordination and automatic control among the modules are achieved through the core function of the comprehensive control end, the whole process from signal generation to data processing and output display is highly integrated and automatic, particularly, in the aspect of data analysis, the spectrum analysis technology and a parameter calculation unit are introduced, and the data analysis efficiency is improved. Different components of respiratory impedance can be accurately separated and calculated, and key parameters are extracted, so that more detailed and accurate lung function evaluation is provided, the automation degree and data analysis of the system are remarkably improved, related technical requirements are met, and the system is suitable for large-scale popularization and application. The technical problem that an existing pulse oscillation lung function testing system still needs to be improved in the aspects of automation degree and data analysis is effectively solved.

The invention discloses a lung function predicted value formula editing method, a lung function predicted value formula editing device, computer equipment and a computer readable storage medium, and relates to the technical field of lung function tests.The lung function predicted value formula editing method includes the steps that a preset interface is opened in response to a user-defined predicted value editing instruction; the input operation of a user is monitored, a user-defined predicted value formula is constructed, and the type of the input operation comprises a typing operation and a dragging operation; and in response to a file saving or exporting instruction, generating a custom formula file. Compared with the prior art, the method for editing the lung function predicted value formula has the advantages that editing of the user-defined predicted value formula is achieved, and the technical problem that in the prior art, due to the lack of the user-defined predicted value function, lung function measuring equipment is inconvenient to use is solved.

The invention provides a breathing mode analysis method and device based on a calm breathing pressure difference waveform and electronic equipment, and relates to the technical field of medical signal processing and artificial intelligence, and the method comprises the following steps: obtaining a calm breathing pressure difference original signal of a target user; preprocessing the calm breathing pressure difference original signal to obtain a target waveform sequence; performing feature extraction based on the target waveform sequence to obtain a plurality of dimension features; combining the at least two dimension features to obtain a multi-modal feature; and inputting the multi-modal features into a trained classification model, and outputting a breathing pattern classification result. According to the method, the whole analysis process is completely based on natural calm breathing, special cooperation or forced breathing actions of the user are not needed, the pain point that traditional lung function examination has a high requirement for the user cooperation degree is solved, and auxiliary decision making of chronic respiratory diseases is achieved.

The utility model relates to a wearable nose clip capable of being matched with lung functions, which comprises an elastic clip body and two groups of flexible clamping heads used for being clamped on two sides of a nose wing of a nose body, the two groups of flexible clamping heads are connected into a whole through an elastic bow, one end of an elastic arm is connected with the middle section of the elastic bow, and the other end of the elastic arm extends towards the forehead along the nose body. The head clamping bow is arranged on the forehead in a sleeving mode, one end of the elastic arm is connected with the middle section of the head clamping bow, when the wearable nose clip is actually used, the wearing stability can be remarkably improved, repeated detection caused by falling of the nose clip is avoided, the detection cost and time consumption are reduced, and the discomfort of a child during wearing is reduced to the maximum extent; the detection efficiency and the success rate are greatly improved, and convenience is provided for smooth lung function detection.

The invention discloses a voice coil motor-based pulse oscillation lung function instrument, which comprises a rotating bracket, and an IOS gas mixing structure is mounted on the rotating bracket; the pulse oscillation generation module comprises a shell, a motor support is fixedly connected into the shell, a voice coil motor is fixedly connected to the motor support, a motion guide column is installed on the voice coil motor, the voice coil motor is in transmission connection with the motion guide column, the shell is provided with an output port, and a diaphragm structure is fixedly connected to the motion guide column and located at the output port. The output port is communicated with the IOS gas mixing structure, and a sensor module is arranged on the IOS gas mixing structure; and the air tap is mounted on the IOS gas mixing structure. The device is suitable for people who are difficult to complete traditional lung function examination, can detect subtle changes which are difficult to find by a traditional lung function instrument, can distinguish resistance changes of the central airway and the peripheral airway through oscillation signals with different frequencies, and provides richer diagnosis information.

1. The name of the product of this design: Pulmonary function tester (for respiratory medicine only). 2. Purpose of the product of this design: medical equipment used to check and detect the functioning of human lungs. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention belongs to the technical field of respiratory training devices, and particularly relates to a respiratory training teaching aid used before lung function examination, the respiratory training teaching aid comprises a mouth, an air pipe, a variable resistance assembly and a detection assembly, the variable resistance assembly comprises a fixing block, the fixing block is internally provided with a respiratory channel and a variable resistance cavity, and the variable resistance cavity comprises a sliding cavity and a placing cavity; an electromagnet, a magnet, a sliding block and an elastic piece are arranged in the placing cavity, the sliding block is fixedly connected with a variable resistance piece, the variable resistance piece is slidably connected into the sliding cavity, a vent hole and a round hole are formed in the variable resistance piece, the round hole is covered with an elastic film, and the sliding cavity is communicated with the breathing channel; the detection assembly comprises a flow sensor, a display screen, a vertical plate, a signal transmitter, a signal receiver, a controller and a prompter, and the vertical plate is provided with an air vent and a signal shielding piece; the air pipe is communicated with the breathing channel and the ventilation opening in the vertical plate. The respiratory resistance can be adjusted, and the blowing flow and the blowing duration can be detected, so that the respiratory state in the lung function examination process is simulated, the examination success rate is improved, and the examination time is shortened.

The utility model discloses a lung function tester with an auxiliary reminding function, and belongs to the technical field of lung function testers. The device comprises a host, a display electrically connected with the host, a data input device, a breathing pipeline installed on one side of the host through an adjusting support, an air leakage detection assembly and a prompt display electrically connected with the host, and the tail end of the breathing pipeline is provided with a replaceable mouthpiece; the air leakage detection assembly comprises a pickup cover, a horn-shaped collection cover, a fixing sleeve and an array microphone. And the prompt display is fixed above the breathing pipeline in front of the patient. On the basis of an original lung function tester, an air leakage detection assembly used for detecting air blowing and air leakage is additionally arranged, and a prompt displayer capable of correctly guiding a patient to breathe is additionally arranged. The burden of oral guidance of a doctor in the lung function examination process is relieved, and the problem of oral error possibly existing in manual guidance is also avoided.

The invention discloses a mask for lung function rehabilitation, and relates to the technical field of medical instruments, the mask comprises a lung function sensor, the outer surface of the lung function sensor is electrically connected with a wire, one end of the wire is electrically connected with a host, and one side of the lung function sensor is movably connected with a lung function filter tip. The sealing sleeve is attached to the mouth of a user, the mouth is completely wrapped in the sealing sleeve, the jaw of the user abuts against the bottom plate, the neck protection plate is attached to the neck of the user, then related breathing operation is conducted according to the requirements of breathing training or lung ventilation function examination, breathing information is converted through the lung function sensor, and the breathing information is displayed through the display screen. During use, the mouthpiece located in the sealing sleeve can be contained in the mouth, first sealing is formed on the mouth of a user, then second sealing is formed through assistance of the sealing sleeve, and therefore the problems that due to the fact that the lips are not tightly closed, errors are generated in respiratory training and lung function examination results, and accuracy is affected are solved.

1. Name of the designed product: nose clip for pulmonary function test. 2. Use of the designed product: used for clamping the patient's nose during pulmonary function test. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model discloses a nasal splint fixing device applied to lung function measurement and examination, which comprises a working box, a rectangular groove is arranged on the side wall of the working box, a movable groove is arranged on the top wall of the working box, a clamping component is arranged in the working box, and a motor, a positive and negative screw rod, a sliding seat and a limiting rod are arranged in the clamping component. The side wall of the motor is fixedly connected to the inner side wall of the working box, a positive and negative screw is installed at the output end of the side face of the motor, the side wall of the positive and negative screw is movably connected to the inner side wall of the working box through a bearing, sliding bases are symmetrically connected to the positive and negative screw, supporting rods are fixedly connected to the side walls of the sliding bases, and the side ends of the supporting rods extend outwards through rectangular grooves. Clamping plates are fixedly connected to the opposite side walls of the supporting rods, the buffering pads are arranged, clamping of the limiting blocks is more stable, the limiting plates, the limiting grooves and the movable rods are used, so that the pressing plates move linearly, stability is high, non-slip mats are convenient to disassemble and assemble, cleanliness and sanitation are achieved, practicability is higher, and flexibility is higher.

The invention discloses an intelligent lung function examination simulation training system and a training method thereof. The intelligent lung function examination simulation training system further comprises a breath training sound production tube, the breath training sound production tube comprises a blowing sound production channel and an inspiration sound production channel which are vertically arranged side by side, a blowing sound production part is arranged in the blowing sound production channel, and an inspiration sound production part is arranged in the inspiration sound production channel; the training assembly comprises a blowing durability training module and a blowing bursting force training module which are arranged side by side; the training assembly further comprises a butt joint base, three training openings are formed in the butt joint base, the first training opening is communicated with the atmosphere, the second training opening is used for being connected with the air blowing durability training module, and the third training opening is used for being connected with the air blowing bursting force training module. A butt joint opening is formed in the top of the rear end of the blowing sound production channel and detachably connected with the butt joint base, and switching conduction between the blowing sound production channel and the three training openings is achieved through a switching mechanism between the butt joint opening and the butt joint base.

The invention provides a method for constructing a chronic obstructive pulmonary disease screening model based on quantitative CT, and the method comprises the steps: carrying out the screening in a research population according to a preset standard, and obtaining a derivation queue and a first external verification queue; performing questionnaire, lung function examination and chest CT scanning analysis on the subjects in the derivative queue to obtain a training data set and an internal verification data set, performing clinical data collection, lung function examination and chest CT scanning on the subjects in the first external verification queue, and combining with a second external verification queue to obtain an external verification data set; performing single-mode modeling and multi-mode modeling according to the type of each data in the training data set, and verifying and evaluating the modeled model by using the internal verification data set to obtain an optimal model; and performing performance evaluation on the optimal model by using an external verification data set. According to the invention, the early screening, diagnosis and management level of the chronic obstructive pulmonary disease can be obviously improved, so that the life quality and prognosis of a patient are improved.

The invention relates to the technical field of medical equipment, and particularly discloses lung function monitoring equipment for children, which comprises a detector body and further comprises a stabilizing assembly, the stabilizing assembly is arranged on one side of a detector and an air inlet pipe, and the stabilizing assembly is used for keeping a child calm and stable during examination and improving the comfort during examination; the auxiliary assembly is arranged on the detector, and the auxiliary assembly is used for assisting the stabilizing assembly to keep the infant calm during examination. By means of the stabilizing assembly, when lung function examination is conducted on an infant, calmness and stability of the infant in the examination process can be kept, the comfort degree in the examination process is improved, the situation that the infant cries and screams violently in the examination process, and consequently the detection result is affected is avoided, by means of the auxiliary assembly, attention of the infant can be attracted when the infant is examined, and the infant is prevented from being injured. Therefore, the stabilizing assembly is assisted to keep the infant in a calm state during examination.

To provide a lung function measuring device capable of generating calibration gas used for the calibration of a sensor used for the examination of a lung function.SOLUTION: A lung function measuring device 1 includes: a stretchable first bag 12 connected to a first gas supply part G1 for supplying examination gas used for the examination of a lung function and a second gas supply part G2 for supplying compressed air; a CO sensor 32 and an He sensor 33 for detecting gas concentration in the examination of the lung function; and a control device 40. The control device 40 supplies the examination gas and the compressed gas to the first bag 12, and generates calibration gas used for the calibration of the CO sensor 32 and the He sensor 33.SELECTED DRAWING: Figure 1

The utility model discloses a blowing nozzle structure for lung function testing, which comprises a blowing nozzle cover body, a connecting pipe capable of filtering blown air is arranged at the bottom of the blowing nozzle cover body, a filter screen is arranged in the connecting pipe, a detachable auxiliary blowing pipe is arranged in the blowing nozzle cover body and corresponds to the position of the connecting pipe, and the auxiliary blowing pipe is connected with the connecting pipe. The bottom of the connecting pipe is fixedly connected with a connecting nozzle used for being connected with the connecting pipe. According to the lung function instrument, the filter screen is arranged, air blown out by a patient can be effectively filtered, so that impurities such as saliva and secretions in exhaled air are effectively prevented from entering the lung function instrument, cross infection is effectively prevented, meanwhile, the detachable auxiliary blowpipe is arranged, and the auxiliary blowpipe can be conveniently used according to the requirements of the patient. When the blowing nozzle is used, the auxiliary blowing pipe is inserted into the connecting pipe to blow air in the mouth, or the auxiliary blowing pipe can be pulled out, and the blowing nozzle cover body covers the mouth to blow air, so that the use flexibility of the blowing nozzle is improved.

This invention relates to the field of medical data mining technology, specifically to an automatic analysis and classification system for pulmonary function test data based on big data. First, it calculates a single-channel weighted evolution index based on the variation deviation of multi-channel data time-series curves, capturing the dynamic evolution characteristics of each dimension within a continuous observation window. Then, it combines the variation trend deviation between multiple channels to accurately assess the feature response sensitivity of each dimension in response to changes in pathological states. Finally, by comparing the differences between current data and historical lesion characteristics, it quantifies the discriminative contribution of each dimension when considering historical data for each lesion type. This allows the weighted discriminative signal intensity obtained based on feature response sensitivity and discriminative contribution to more comprehensively evaluate the sample contribution of each pulmonary function test dimension. This results in higher accuracy in training the classification model using the weighted discriminative signal intensity as sample weights, thereby improving the accuracy of pulmonary function test data classification.

The present invention provides a method for constructing a quantitative CT-based chronic obstructive pulmonary disease screening model, comprising: screening a study population according to preset criteria to obtain a derivation cohort and a first external validation cohort; conducting questionnaires, pulmonary function tests, and chest CT scan analysis on subjects in the derivation cohort to obtain a training dataset and an internal validation dataset; collecting clinical data, performing pulmonary function tests, and chest CT scans on subjects in the first external validation cohort, and combining the data with a second external validation cohort to obtain an external validation dataset; performing single-modality modeling and multimodality modeling based on the types of data in the training dataset, and validating and evaluating the modeled models using the internal validation dataset to obtain the optimal model; and performing performance evaluation of the optimal model using the external validation dataset. The present invention can significantly improve the early screening, diagnosis, and management of chronic obstructive pulmonary disease, thereby improving the quality of life and prognosis of patients.

The invention pertains to the use of a specific biomarker of elastin degradation (desmosine) that measures the extent and progression of chronic obstructive pulmonary disease (COPD). In addition to potentially serving as a screening procedure for COPD, it provides a real-time measure of COPD drug efficacy and may therefore supersede the use of less sensitive tests such as pulmonary function studies and computed tomography. Equally important, the current invention constitutes a marked improvement for measuring desmosine in tissues and body fluids by greatly shortening the time for detection of this molecule in liquid chromatography-tandem mass spectrometry (LC-MS-MS) assays that are the gold standard for such measurements. Unlike previous methods, the invention allows for the use of LC-MS-MS without modification, so the method can be applied to any laboratory that uses this equipment for other measurements. This would include forensic facilities that need to determine if undiagnosed COPD played a role in the loss of life.

The invention relates to the field of medication compliance evaluation, in particular to an intelligent evaluation system for chronic obstructive pulmonary disease medication compliance. According to the system, firstly, an array formed by medicine inhalation data of all dimensions when a patient takes medicine each time is used as a characteristic vector of the patient in the medicine each time, and according to the difference between the characteristic vector of the patient in the medicine each time and a standard characteristic vector and the deviation condition of the characteristic vector of the patient in the medicine each time, the characteristic vector of the patient in the medicine each time is calculated. The method comprises the following steps: acquiring the normalization degree of each time of medication of a patient, acquiring the lung function index change rate of each time of lung function examination of the patient and the medicine inhalation change rate of each time of medication of the patient, and acquiring the correlation coefficient of the patient according to the change difference between the lung function index change rate of the patient and the medicine inhalation change rate in time sequence; and based on the correlation coefficient, adjusting the normalization degree of each time of medication of the patient, and evaluating the medication compliance of the patient. According to the method, the medication compliance of the patient can be accurately evaluated.

A respiration sampling device for lung function detection relates to the technical field of respiration medicine sampling and comprises a gas collecting tube body, a first cavity and a second cavity are formed in the gas collecting tube body along the two sides of the interior of the gas collecting tube body, the first cavity and the second cavity are communicated with each other, and a mounting part is arranged in the middle of the interior of the first cavity. A rotatable cylindrical mounting block is arranged at the saliva separation mechanism, corresponding water absorption cloth is arranged on the outer side face of the mounting block, and when the water absorption cloth makes contact with saliva and accordingly the absorption performance is reduced, the water absorption cloth can be separated from the saliva separation mechanism, so that the saliva can be separated from the saliva separation mechanism, and the saliva can be separated from the saliva separation mechanism. When saliva is filtered, the mounting block can be driven by the rotating rod to rotate, so that new water-absorbing cloth is exposed outside the mounting groove and is opposite to the flow guide mechanism, and therefore, airflow can be in contact with unused water-absorbing cloth during repeated sampling, the problem that saliva is not filtered thoroughly is effectively avoided, and the continuous and stable absorption performance of the water-absorbing cloth is ensured.

The invention relates to the technical field of medical data mining, in particular to a lung function examination data automatic analysis and classification system based on big data, which comprises the following steps: firstly, calculating a single-channel weighted evolution index based on change deviation of a multi-channel data time sequence curve, and capturing dynamic evolution characteristics of each dimension in a continuous observation window; furthermore, the characteristic response sensitivity of each dimension in response to pathological state change is accurately evaluated in combination with data change trend deviation among multiple channels; and finally, by comparing the difference between the current data and the historical lesion features, quantizing the discrimination contribution degree of each dimension when the historical data of each lesion type is considered. The sample contribution of each lung function examination dimension can be evaluated more comprehensively by the weighted discrimination signal intensity obtained based on the feature response sensitivity and the discrimination contribution degree; the accuracy of classification model training is higher when the weighted discrimination signal intensity is used as the sample weight, and the accuracy of lung function examination data classification is improved.

The utility model discloses a nasal splint for testing lung function, which relates to the field of measuring devices for examining respiratory organs and comprises a nasal splint main body, a clamping head, a connecting rod, a clamping strip and a silicon rubber case. The middle part of the connecting rod is rotatably arranged in the mounting hole in a penetrating manner and is in interference fit with the mounting hole; clamping strips are fixedly arranged at the left and right ends of the connecting rod; after the nose clip is assembled with the glasses, the clip strip and the nose clip main body are respectively positioned on the front side and the rear side of lenses of the glasses. Therefore, by means of the assembling relation of the clamping strips, the elastic pieces and the glasses, the nose clip body is fixed in an auxiliary mode. Therefore, the nose clip main body can be prevented from shaking when the patient inhales and exhales forcibly, so that air leakage of the nose in the lung function test process is prevented, the test accuracy is ensured, and meanwhile, the patient can feel more comfortable.

The invention relates to the technical field of medical diagnosis assistance, and discloses an intelligent medical diagnosis assistance method and system based on a lung function determinator, and the method comprises the following steps: obtaining multi-source data, and carrying out the timestamp synchronous correction processing of the data; judging a physiological stable state, and setting / judging a dynamic stable interval set; carrying out trend analysis judgment and instrument cumulative performance deviation judgment; instrument offset judgment and compensation are carried out, offset is calculated, and data are corrected; and generating a reference model reflecting the respiratory function of the patient according to the compensated lung function data. Through multi-device data fusion and an intelligent compensation algorithm, the accuracy of lung function evaluation is improved, illness state true changes and instrument errors can be effectively discriminated, and doctors are helped to more accurately evaluate disease progression and treatment effects.

The present invention discloses a quality control method, device, computer equipment, and medium for pulmonary function test reports, relating to the field of data processing technology. The method comprises: identifying examination parameter data and graphic data from a PDF file of a pulmonary function test report; extracting coordinate data for each flow rate volume loop from the graphic data; dividing the coordinate data of each flow rate volume loop into different sections based on the coordinate data of the expiratory phase of each flow rate volume loop according to the flow rate variation characteristics and time characteristics; judging whether each flow rate volume loop has an abnormal exhalation condition based on the different sections where the coordinate data is located and whether the coordinate data forms a preset shape feature; and judging whether the examination parameter data of multiple pulmonary function tests in the PDF file meet the result consistency requirements based on the trend differences of the examination parameter data. The present invention is conducive to improving the efficiency and accuracy of quality control of pulmonary function test reports.

The invention relates to the technical field of data processing, in particular to a system and a method for auxiliary analysis of hormone-sensitive chronic cough, and the method comprises the following steps: collecting target indexes of a patient, including allergic disease history, sour regurgitation heartburn symptom, hematophilic granulocyte count, CRP, IgE, FEV1 / FVC and FeNO; preprocessing the target index to obtain a preprocessed index; and generating a risk score corresponding to the hormone-sensitive chronic cough according to the pretreatment index. In order to solve the problems that in the prior art, hormone-sensitive cough diagnosis indexes need to depend on a complex detection instrument to be collected, and implementation is difficult, on the basis of regression analysis, the indexes of auxiliary analysis are determined to be clinical data which can be obtained easily based on clinical symptoms, blood routine indexes, lung function examination and the like of a patient, and the hormone-sensitive cough diagnosis indexes are obtained. And a related auxiliary analysis system is established, so that complex instruments required in the traditional medical examination process are omitted, and the medical examination process can be quickly completed in any level of medical institutions.

This item is used to test lung function by attaching a mouthpiece to the front opening and blowing air into it, and it can also be fixed by the attachment part on the bottom surface if necessary.

This application provides a plethysmography chamber and a method for disinfecting the plethysmography chamber. The plethysmography chamber includes a controller, a chamber body, and a detection module. A disinfection device is installed inside the chamber body. The controller is electrically connected to the detection module and the disinfection device. The detection module is configured to perform lung volume detection under the control of the controller. The controller is configured to: acquire the status information of the plethysmography chamber; determine if the status information of the plethysmography chamber meets preset conditions, and control the disinfection device to perform disinfection. Thus, the plethysmography chamber can automatically acquire its status information and automatically disinfect itself when the status information meets preset conditions, addressing the current disinfection requirements for chambers used in clinical pulmonary function testing.

The invention discloses a children lung function examination training system based on AR and AI intelligent interaction, and relates to the technical field of aided training, the system comprises a respiration sensor module, which is internally provided with a flexible wearable sensor and fuses multi-modal data to collect respiration information; the AR interaction module is composed of AR glasses and a virtual scene engine and provides multi-theme AR scenes to interact with children; the intelligent feedback module comprises an error recognition sub-module and is used for analyzing the error type of the breathing method in real time; the AI large language model sub-module analyzes the questions of the children and generates feedback data in combination with error types; and the interactive training module is used for providing a multi-modal training scheme based on the intelligent feedback data. And therefore, the technical effects of enhancing interactivity, diversifying scenes, and improving the matching degree and the training effect are achieved.